object Tracking and Detection by Color

object_tracking_by_color.py

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+import cv2 as cv 
+import numpy as np 
+import imutils
+
+def main():
+	cap = cv.VideoCapture(0)
+
+
+	if cap.isOpened():
+		ret , frame = cap.read()
+
+	else:
+		ret = False
+
+	while ret:
+		ret, frame = cap.read()
+		frame = imutils.resize(frame, width=450)
+		hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
+
+		# blur range
+		b_low = np.array([100,50,50])
+		b_high = np.array([140,255,255])
+
+		# green range
+		sensitivity = 15;
+		g_low = np.array([40, 100, 50])
+		g_high = np.array([100, 255, 255])
+
+		# red range
+		r_low = np.array([170,25,20])
+		r_high = np.array([179,255,255])
+
+		# make mask
+		img_mask_b = cv.inRange(hsv,b_low,b_high)
+		img_mask_g = cv.inRange(hsv,g_low,g_high)
+		img_mask_r = cv.inRange(hsv,r_low,r_high)
+		# bitwise operation
+		output_b = cv.bitwise_and(frame,frame,mask=img_mask_b)
+		output_g = cv.bitwise_and(frame,frame,mask=img_mask_g)
+		output_r = cv.bitwise_and(frame,frame,mask=img_mask_r)
+		cv.imshow('blue',output_b)
+		cv.imshow('green',output_g)
+		cv.imshow('red',output_r)
+		cv.imshow('original',frame)
+		if cv.waitKey(1) == ord('q'):
+			break
+
+	cv.destroyAllWindows()
+	cap.release()
+
+if __name__ == '__main__':
+	main()
+